Guaranteed-quality parallel Delaunay refinement for restricted polyhedral domains

  • Authors:
  • Démian Nave;Nikos Chrisochoides;L. Paul Chew

  • Affiliations:
  • Pittsburgh Supercomputing Center, Carnegie Mellon University, Pittsburgh, PA;Department of Computer Science, College of William and Mary, Williamsburg, VA;Department of Computer Science, Cornell University, Ithaca, NY

  • Venue:
  • Computational Geometry: Theory and Applications - Special issue on the 18th annual symposium on computational geometry—SoCG2002
  • Year:
  • 2004

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Abstract

We describe a distributed memory parallel Delaunay refinement algorithm for simple polyhedral domains whose constituent bounding edges and surfaces are separated by angles between 90° to 270° inclusive. With these constraints, our algorithm can generate meshes containing tetrahedra with circumradius to shortest edge ratio less than 2, and can tolerate more than 80% of the communication latency caused by unpredictable and variable remote gather operations.Our experiments show that the algorithm is efficient in practice, even for certain domains whose boundaries do not conform to the theoretical limits imposed by the algorithm. The algorithm we describe is the first step in the development of much more sophisticated guaranteed-quality parallel mesh generation algorithms.